Technical Business Systems Analyst – IT Data Engineering

Swoon; United States; Remote; USD 79,000 - 83,000; Full time

Job summary

Swoon is seeking a highly analytical Technical Business Systems Analyst to join its IT Data Engineering effort. The role bridges business needs and technical data solutions, ensuring precise scoping, documentation, and delivery of data-driven initiatives.

Responsibilities include gathering requirements, diagramming workflows, documenting business rules, and collaborating across teams to support design, development, and testing in a remote-capable environment.

Qualifications

• Bachelor's degree required in IS, CS, business or related field.
• 8+ years as BA or Systems Analyst in IT or data engineering.
• Strong grasp of ETL, data warehousing, data governance.
• Proficient in diagramming tools (Visio, Lucidchart, BPMN).
• Experience with agile, waterfall or hybrid environments and integrations.

Responsibilities

• Elicit and document detailed business and technical requirements for data engineering.
• Create and maintain data/process diagrams and interaction models.
• Document business rules governing data processing and validation.
• Liaise between business, developers and QA throughout design to testing.
• Support test case reviews and defect resolution; maintain traceability.

Skills

Analytical thinking

Communication skills

Problem solving

Agile/Hybrid/project experience

Systems integrations

Education

Bachelor's degree in Information Systems / CS / Business Administration

Tools

Visio

Lucidchart

BPMN

Job description

Title: Technical Business Systems Analyst – IT Data Engineering

Location: remote but only open to candidates CURRENTLY local to city's or surrounding areas; Philadelphia, Boca Raton, NYC, Chicago, Tampa, San Diego, Atlanta, and/or Dallas

Pay: $57.21/hr w2 MAX rate- w2 only for conversion

Hours: Expectation is to work EST times, busiest is in the morning some meetings start 8.30am EST.

Type: Contract

Length: 12-months; possibility to extend

Screenings: tech (in place of one round with client) prior to submission, full panel drug and background once hired

IV process: phone call then 1 screen with swoon- client 2 steps

MUST HAVES:

• Bachelor’s degree in Information Systems, Computer Science, Business Administration, or related field.
• 8+ years of experience as a Business Analyst or Systems Analyst in IT or data engineering projects.
• Strong understanding of data concepts including ETL, data warehousing, and data governance.
• Proficiency in diagramming tools (e.g., Visio, Lucidchart, BPMN).
• Excellent communication, analytical, and problem-solving skills.
• Experience working in Agile, Waterfall or hybrid project environments is a plus.
• Experience working on system integrations.

Preferred Skills:

• Familiarity with SQL and data modeling concepts including MySQL and CosmoDB.
• Hands on Azure experience
• Familiarity with Cloud storage models including DataLake and Blob storage.
• Experience with Cloud Data Platforms (e.g., Mainly Azure but also familiar with AWS and GCP).
• Knowledge of data privacy and compliance standards (e.g., GDPR, HIPAA).
• GitHub project experience.
• Familiarity with AI tools like Copilot.
• Familiarity with data ingest pipelines and data modeling.
• Capable of creating & documenting on how our data is packaged and goes through the data lifecycle

Overview:

We are looking for a highly analytical and detail-oriented Technical Business Analyst to join our Data Engineering team. This role is essential in bridging the gap between business needs and technical solutions, ensuring that data-driven initiatives are accurately scoped, documented, and delivered.

Key Responsibilities:

• Requirements Gathering: Collaborate with stakeholders to elicit and document detailed business and technical requirements. Translate business needs into clear, actionable specifications for data engineering teams.
• Workflow & Process Diagramming: Create and maintain process flow diagrams, data flow diagrams, and system interaction models. Visualize current and future state workflows to support solution design and gap analysis.
• Business Rules Documentation: Identify and document business rules governing data processing, transformation, and validation. Ensure rules are clearly communicated and traceable throughout the project lifecycle.
• Cross-Functional Collaboration: Act as a liaison between business and technical stakeholders, developers, and QA testers. Provide clarification and support throughout the design, development, and testing phases. Builds strong, collaborative relationships with team members and stakeholders.
• Quality Assurance and User Acceptance Testing Support: Assist in reviewing test cases and validating implementation against requirements. Participate in defect triage and resolution discussions.
• Project Documentation: Maintain comprehensive documentation including user stories, acceptance criteria, and traceability matrices. Ensure documentation is version-controlled and accessible to relevant teams.